NOMA is envisioned to be a promising technique for the development of next-generation wireless networks [1]}.
By serving multiple users at the same time and frequency resource,
NOMA can scale up the number of served users,
increase spectral efficiency, and improve user-fairness compared to existing orthogonal multiple access (OMA) techniques.
Recently, significant research efforts have appeared focusing on various challenge of NOMA [2]}, [3]}, [4]}, that include modeling, performance analysis, signal processing, and emerging NOMA applications such as heterogenous networks (HetNets), cognitive radio networks and millimeter wave (mmWave) communications.
The non-orthogonal resource allocation nature of
NOMA necessitates the introduction of novel models and algorithms for addressing several challenges that include:
joint user clustering and resource allocation for devising a scalable multi-cell NOMA design, advanced channel estimation and signal detection for large-scale NOMA networks, and dynamic user behaviour prediction in NOMA based mobile networks.
